Structured Legal Document Generation in India: A Model-Agnostic Wrapper Approach with VidhikDastaavej

📰 ArXiv cs.AI

VidhikDastaavej introduces a model-agnostic wrapper approach for structured legal document generation in India

advanced Published 26 Mar 2026

Action Steps

Introduce a large-scale anonymized dataset of private legal documents
Develop a model-agnostic wrapper approach for structured legal document generation
Train and evaluate the model using the introduced dataset
Apply the model to automate legal document drafting

Who Needs to Know This

AI engineers and legal professionals on a team can benefit from this approach as it improves efficiency and reduces manual legal work, and data scientists can utilize the introduced dataset for further research

Key Insight

💡 A model-agnostic wrapper approach can improve efficiency and reduce the burden of manual legal work in generating private legal documents

Key Takeaways

VidhikDastaavej introduces a model-agnostic wrapper approach for structured legal document generation in India

Full Article

Title: Structured Legal Document Generation in India: A Model-Agnostic Wrapper Approach with VidhikDastaavej

Abstract:
arXiv:2504.03486v2 Announce Type: replace-cross Abstract: Automating legal document drafting can improve efficiency and reduce the burden of manual legal work. Yet, the structured generation of private legal documents remains underexplored, particularly in the Indian context, due to the scarcity of public datasets and the complexity of adapting models for long-form legal drafting. To address this gap, we introduce VidhikDastaavej, a large-scale, anonymized dataset of private legal documents cura

Read full paper → ← Back to Reads